Are you struggling to communicate technical information that drives decision-making effectively to executives/decision-makers?

I created this prompt to solve the common problem of technical teams struggling to communicate effectively with executives.

Prompt: "Briefly present the single most important takeaway from a recent project, focusing on its relevance to a senior decision-maker. In one line, state the key insight, and in two sentences, frame its importance in the project’s context. Support with two precise pieces of evidence to reinforce this takeaway, using only the most essential details. Conclude by summarizing the strategic impact, ensuring the language is clear, professional, and suitable for non-technical listeners."

Use Cases:

ML Model Performance Reports - Translating accuracy metrics into business value

Security Incident Briefings - Communicating threats without technical jargon

Project Status Updates - Highlighting critical path items for resource allocation

ROI Analysis - Connecting technical investments to business outcomes

Risk Assessments - Conveying technical vulnerabilities in business terms

Test Examples:

ML Model Deployment: "Our fraud detection model increased transaction security while reducing false positives by 40%. This improvement directly impacts customer satisfaction and operational efficiency, as fewer legitimate transactions are flagged. Evidence: Monthly false positive rate dropped from 8% to 4.8%, and customer complaint volume decreased 35%. Strategic Impact: Enhanced security posture while improving customer experience positions us ahead of competitors in digital banking."

Security Incident: "Critical vulnerability patch saved $2M in potential breach costs. Quick identification and remediation of the zero-day threat demonstrated our mature security operations, preventing data exposure. Evidence: Patch deployed across 98% of systems within 4 hours, compared to industry average of 72 hours, and blocked 15,000 attempted exploits. Strategic Impact: Proactive security stance protected brand reputation and customer trust."

Infrastructure Upgrade: "Cloud migration reduced operational costs by 30% while improving scalability. The successful transition from legacy systems to cloud infrastructure exceeded ROI projections and positions us for rapid growth. Evidence: Monthly infrastructure costs dropped from $500K to $350K, while system uptime improved to 99.99%. Strategic Impact: Enhanced operational efficiency creates competitive advantage in market responsiveness."

Data Analytics Platform: "New analytics dashboard reduced decision time from days to minutes. Implementation of real-time analytics capabilities enables immediate response to market changes and customer needs. Evidence: Executive decisions now leverage live data instead of weekly reports, leading to 45% faster market response time. Strategic Impact: First-mover advantage in market opportunities through data-driven decision making."

Automation Implementation: "Process automation cut customer service resolution time by 60%. Deployment of AI-powered service automation transformed customer experience while reducing operational costs. Evidence: Average resolution time dropped from 48 hours to 19 hours, with 90% customer satisfaction. Strategic Impact: Improved customer retention while reducing support costs strengthens market position."

This prompt structure effectively bridges technical-business communication gaps and ensures consistent, impactful reporting across teams.